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Robust Fault Detection and Isolation Based on Finite-frequency H?/H Unknown Input Observers and Zonotopic Threshold Analysis
Authors:Meng Zhou  Zhengcai Cao  Ye Wang
Abstract:This work proposes a robust fault detection and isolation scheme for discrete-time systems subject to actuator faults, in which a bank of H?/H fault detection unknown input observers (UIOs) and a zonotopic threshold analysis strategy are considered. In observer design, finite-frequency H? index based on the generalized Kalman-Yakubovich-Popov lemma and H technique are utilized to evaluate worst-case fault sensitivity and disturbance attenuation performance, respectively. The proposed H?/H fault detection observers are designed to be insensitive to the corresponding actuator fault only, but sensitive to others. Then, to overcome the weakness of predefining threshold for FDI decision-making, this work proposes a zonotopic threshold analysis method to evaluate the generated residuals. The FDI decision-making relies on the evaluation with a dynamical zonotopic threshold. Finally, numerical simulations are provided to show the feasibility of the proposed scheme. 
Keywords:Fault detection and isolation  finite-frequency domain  H?/H technique  unknown input observer  zonotopic threshold analysis
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